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Codestral-22B vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 0.0.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 0.0, ranking #13 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

  • you need open weights you can self-host or fine-tune

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
0.0
#342
52.1
#13
-0.1
#334
38.4
#71
2.4
#239
41.5
#8
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

7 reported for Codestral-22B · 16 for Muse Wonder Full

No common benchmarks found

Codestral-22B and Muse Wonder Fulldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas Codestral-22B does not.

Muse Wonder Full can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Muse Wonder Full uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 29 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.4 years ago

Muse Wonder Full

Oct 12, 2026

-1 days ago

2.4yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Codestral-22B and Muse Wonder Full side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Codestral-22B vs Muse Wonder Full.

Which is better, Codestral-22B or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 0.0. Codestral-22B is made by Mistral AI and Muse Wonder Full is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Muse Wonder Full in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%.

What are the main differences between Codestral-22B and Muse Wonder Full?

Key differences include LLM Stats Score (0.0 vs 52.1), multimodal support (no vs yes), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Muse Wonder Full?

Codestral-22B is developed by Mistral AI and Muse Wonder Full is developed by Meta.